Football · Italy Serie D · 08/11, 14:30

Prediction: US Palmese 1914 vs Martina

Team pages: US Palmese 1914 · Martina

Prediction summary
Expected goals
3.11Total
US Palmese 19141.38
Martina1.72
1X2
30% 26% 45%
US Palmese 1914 Draw Martina
Markets
Over 2.5 goals 54% Both teams to score 57%
Most likely score
1-1 12%
Recent form · 10 last
US Palmese 1914 3-2-5 (W-D-L)
LDWLLWLWDL
Martina 7-1-2 (W-D-L)
LWWLWWWWDW
Head-to-head
US Palmese 1914 0–3–1 Martina (4 last)
  • Martina2-2US Palmese 1914
  • US Palmese 19143-3Martina
  • Martina0-0US Palmese 1914
  • US Palmese 19143-4Martina
Model analysis
1st-half goalsOver 1.5 · 54%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours Martina (rating 1464 vs 1570).
  • High corners: 10.8 combined avg.
  • Cards-heavy: 8.1 🟨 combined avg.

Statistics · 10/10 matches analysed

F = for · A = against · HT = half-time · FT = full-time

US Palmese 1914Martina
Goals for / against (FT)1.6 / 1.92 / 0.9
Goals for / against (HT)0.3 / 10.7 / 0.2
Half-time result (W/D/L)0/50/50%50/50/0%
Corners (HT / FT)2.5 / 5.33.2 / 5.5
Cards (🟨 / 🟥)3.8 / 04.3 / 0.5

Head-to-head (H2H) · US Palmese 1914 0–3–1 Martina

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DateHomeScoreAway
09/02/25
Italy Serie D
Martina2-2
HT 1-2
US Palmese 1914
13/10/24
Italy Serie D
US Palmese 19143-3Martina
18/02/24
Italy Serie D
Martina0-0
HT 0-0
US Palmese 1914
15/10/23
Italy Serie D
US Palmese 19143-4Martina

Standings · Italy Serie D

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#Team PWDL GFGAPts
1 Reggina 10721 25723
2 Sambiase 10721 17823
3 Vibonese 10631 22921
4 Calcio Avola 1949 10613 161419
5 ASD Digiesse PraiaTortora 10532 16818
6 Milazzo 10514 111216
7 Igea Virtus 10433 232115
8 ASD Licata 10424 101714
9 SSD Athletic Club Palermo 9423 121014
10 Città di Gela 10343 11812
11 Nissa FC 10334 161412
12 Siracusa 10532 171011
13 Vigor Lamezia 10226 10188
14 ASD CastrumFavara 10226 11178
15 Modica 9216 7127
16 Trapani 10325 7146
17 ASD Ragusa 10037 9213
18 Enna Calcio 10037 4243

Common opponents 9 opponents

How each team fared against the same recent opponents

OpponentUS Palmese 1914Martina
Ischia 1-2 L 1-1 D
Ebolitana 2-0 W 2-0 W
Bisceglie 1913 2-3 L 3-1 W
AC Nardo 4-2 W 3-0 W
Nocerina 0-3 L 2-0 W
Real Aversa 1925 3-4 L 2-1 W
FC Francavilla 1-0 W 1-0 W
SS Turris Calcio 0-0 D 3-4 L
Virtus Francavilla 1-3 L 1-2 L
Record vs common 3 W 1 D 5 L 6 W 1 D 2 L

Better against common opponents: Martina (6 of 9 head-to-heads won)

Last 10 matches played

The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.

US Palmese 1914

LDWLLWLWDL

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Date Opponent HT FT Cor.Cards Res.
01/11 Ischia
Italy Serie D
1-1 1-2 37 L
24/10 Melfi
Italy Serie D
– 2-2 –– D
18/10 Ebolitana
Italy Serie D
– 2-0 –– W
11/10 Bisceglie 1913
Italy Serie D
– 2-3 –– L
04/10 AC Nardo
Italy Serie D
– 4-2 –– W
27/09 Nocerina
Italy Serie D
– 0-3 –– L
20/09 Real Aversa 1925
Italy Serie D
0-1 3-4 62 L
16/09 FC Francavilla
Italy Serie D
– 1-0 –– W
13/09 SS Turris Calcio
Italy Serie D
0-0 0-0 54 D
06/09 Virtus Francavilla
Italy Serie D
0-2 1-3 72 L

Martina

LWWLWWWWDW

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Date Opponent HT FT Cor.Cards Res.
01/11 Bisceglie 1913
Italy Serie D
0-0 3-1 35 W
25/10 Ischia
Italy Serie D
– 1-1 –– D
18/10 Nocerina
Italy Serie D
1-0 2-0 55 W
11/10 Ebolitana
Italy Serie D
– 2-0 –– W
04/10 FC Francavilla
Italy Serie D
0-0 1-0 62 W
27/09 AC Nardo
Italy Serie D
1-0 3-0 36 W
20/09 Virtus Francavilla
Italy Serie D
– 1-2 –– L
16/09 Real Aversa 1925
Italy Serie D
1-1 2-1 76 W
13/09 Real Forio 2014
Italy Serie D
1-0 2-0 95 W
06/09 SS Turris Calcio
Italy Serie D
– 3-4 –– L

Frequently asked questions

Who is the favourite in US Palmese 1914 vs Martina?

According to our model, the most likely result is an Martina win (45%). Probabilities: US Palmese 1914 30%, draw 26%, Martina 45%.

How many goals are expected in US Palmese 1914 vs Martina?

The model expects 3.11 goals (US Palmese 1914 1.38 · Martina 1.72), with a 54% chance of over 2.5 goals.

Will both teams score in US Palmese 1914 vs Martina?

The model gives a 57% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 1-1.